Asking ‘Why’ in AI: Explainability of intelligent systems – perspectives and challenges

Recent rapid progress in machine learning (ML), particularly so‐called ‘deep learning’, has led to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving an area of research dating back to the 1970s. The aim of this article is to view current issues concerning ML‐based AI systems from the perspective of classical AI, showing that the fundamental problems are far from new, and arguing that elements of that earlier work offer routes to making progress towards explainable AI today.     

Non-coercive influence: Scale development and validation based on resource and relational paradigms

To overcome competition in an increasingly network dependent market, retailers are required to influence upstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel's non-coercive influence behavior over suppliers.     

智能自助售药设备的研究与应用

近些年来，为了改善我国医疗系统就诊密度大，看病买药难的问题，政府出台了一系列的政策措施，鼓励并引导人们就近在社区医院或门诊看病购药。自助售药机作为一种新型自助服务终端，在结合了物联网、大数据等技术后，可节省医院一部分医疗资源，实现患者自主问诊取方购药，有效的缓解了我国现行医疗资源紧张的现象。该文以几种最新出现的智能自助售药设备作为研究对象，通过对其功能特点进行详细阐述，分析了各类自助售药设备的结构模块和工作原理，并对可能存在的问题提出了一些看法，最后针对未来智能自助售药设备的发展前景进行了探讨与展望。     

试论人工智能应用于我国传统制造业的启示

现阶段,人工智能的应用和普及已经成为社会运行发展的一大趋势。与此同时,传统制造业面临着与人工智能相结合应用的升级和转型。论文基于人工智能发展与应用的背景,对人工智能带来的机遇和挑战展开分析,指出了人工智能应用于我国传统制造行业未来发展趋势方面的启示,并在此基础上提出人工智能在传统制造行业的应用办法,提高人工智能运行效率。     

Applications of Statistics in the Field of General Insurance: An Overview

This is an expository paper on applications of statistics in the field of general insurance, also called non‐life insurance. Unlike life insurance where advanced statistical techniques have long been part of financial mathematics and actuarial applications, their use is only relatively recent in non‐life insurance. The business model of insurance companies, especially those active in non‐life insurance, has seen dramatic changes over the last 15 years. The aim of this paper is to convince the readers that especially today non‐life insurance is not only an exciting ground to apply existing modern statistical tools but also a fertile environment for new and challenging statistical developments. The activities of an insurance company can be viewed as an industrial process where data management and data analysis play a key role. That is why a fundamental understanding of data‐related issues (such as data quality, variability, analysis and correct interpretation) is so essential to the insurance business. These are exactly the tasks where professional statisticians excel. Also, a better understanding of the field of general insurance by statisticians will promote fruitful exchanges between actuaries and statisticians, thereby helping to bring actuarial and statistical professional societies closer to each other. Selected examples are used to cover the essential aspects of general insurance, and all of them are based on the author's experience. The paper concludes with some remarks on the role of statisticians working in general insurance.     

Can interfirm trust improve firms' cooperation on environmental innovation? The moderating role of environmental hostility

Based on the logic of “trust‐behavior,” we examined the relationship between interfirm cognitive trust, emotional trust, and firms' cooperation on environmental innovation, as well as the moderating role of environmental hostility on the relationship between two dimensions of interfirm trust and cooperation on environmental innovation. Data for the study were collected from 216 firms in China. The results indicated that both interfirm cognitive trust and emotional trust were positively correlated to firms' cooperation on environmental innovation, and the effect of emotional trust on firms' cooperation on environmental innovation was negatively moderated by environmental hostility. Finally, the results were discussed and future directions put forward.     

Optimal capacity and operation design of a robot logistics system for the hotel industry

This study introduces an optimal capacity and operation design of a robot logistics system that can reduce human workload in the hotel industry. In hotels, there are several duties that can be replaced by robots such as accompanying guests to the certain areas, delivering specific items to the guest rooms, and transporting some items that guests want to be removed from the guest rooms. To apply the robot logistics system in the hotel industry, the capacity and operation design should be prepared adequately. For that, a mathematical model-based optimization technique is used to decide the number of robots with the concept of minimizing total investment cost and to derive the optimal job assigning with the purpose of maximizing total covered jobs. In addition, a numerical example is performed to validate the proposed mathematical model and the sensitivity tests are examined to reflect the random features.     

Towards an integrated model for the transference of environmental responsibility

This research explores how environmental responsibility transfers to others. Although environmental responsibility is one of the most debated topics in environmental management literature, a framework describing how a teacher's environmental responsibility shapes the student's environmental responsibility is still lacking. Adopting emotional contagion theory as a lens, the paper addresses this issue via the mediation of emotional contagion and the moderation of a teacher's environmental concern. Based on a survey of teachers and students (N = 283) conducted in Pakistan, our findings provide evidence that a teacher's environmental responsibility can better transfer to students via emotional contagion. Additionally, our data establish that the transference of environmental responsibility from teachers to students via emotional contagion is more effective when the teacher has a high level of environmental concern than when he or she has a low level of environmental concern. Finally, the authors discuss the implications for policy in detail.